Perplexity · answer coverage
The one engine that shows its sources.
When an answer cites its sources, being named is observable rather than inferred.
Where you show up, and where you don't
How five AI assistants discover, mention and describe your store, measured against your real buyer questions.
Live tracking
Overall presence
ChatGPT11#2.1
Perplexity4#3.4
Gemini3#3.8
Claude6#2.9
Grok2#4.1AI Answers
The receipts — every word the AI engines have actually said about you.
Grouped by question — each card shows the latest answer from every engine. Search and filter by engine, type, outcome, sources, or date.
The category queries shoppers ask before they know your name.
Get named here and you win the sale cold. Burnish keeps your highest-Value queries live, re-reads them across all 5 engines on a schedule, and tracks where you surface. ★ Pin protects a query; Add injects your own.
Query | Intent | Presence | Next check | ||
|---|---|---|---|---|---|
softest sneakers for all-day comfort 2×2× | Comparison | —WarningClose | in 2d | ||
best court sneakers under $160 2×2× | Comparison | —WarningClose | in 2d | ||
low-profile court shoe for narrow feet 2×2× | Comparison | —WarningClose | in 2d | ||
durable court sneakers for daily use 2×2× | Comparison | —WarningClose | in 2d | ||
best first court sneaker 2×2× | Comparison | —WarningClose | in 2d | ||
grip and flex in vulcanized soles 2×2× | Comparison | —WarningClose | in 2d | ||
best value sneakers for the money 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers under $100 2×2× | Comparison | —WarningClose | in 2d | ||
cheapest sneakers still worth buying 2×2× | Comparison | —WarningClose | in 2d | ||
discount sneakers that are still good 2×2× | Comparison | —WarningClose | in 2d | ||
affordable everyday sneakers for first buyers 2×2× | Comparison | —WarningClose | in 2d | ||
end of season sneaker deals 2×2× | Comparison | —WarningClose | in 2d | ||
budget sneakers vs mid-range worth it 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers for court and casual wear 2×2× | Comparison | 72+6SuccessLeading | in 2d |
The 12 queries shoppers ask AI before they trust you with a purchase.
Their answers build — or break — the sale. Burnish asks all 5 engines on a schedule, scores how well each one represents you, and fixes the weak spots.
No answers captured for this engine yet.
Why it matters
Why Perplexity is worth measuring.
01
Citations are visible, so position is legible
Answers carry their sources. Whether your page was used, and where it sat, can be read off the answer itself.
02
It rewards pages that state things plainly
A source has to be quotable. Specifics — material, dimensions, returns window — give it something to cite.
03
It is sampled on every plan
Presence covers Perplexity alongside ChatGPT and Gemini, not only the higher tiers.
What Burnish does
Four things, on this engine, every cycle.
Nothing here is a projection. Each row is a reading, a change, or a comparison between the two.
Ask
The questions your buyers actually ask
A board of buyer questions in sentences, not keywords — 50 on Presence and Authority, 100 on Omnipresence.
Where you show up, and where you don't
How five AI assistants discover, mention and describe your store, measured against your real buyer questions.
Live tracking
Overall presence
ChatGPT11#2.1Perplexity4#3.4Gemini3#3.8Claude6#2.9Grok2#4.1AI Answers
The receipts — every word the AI engines have actually said about you.
Grouped by question — each card shows the latest answer from every engine. Search and filter by engine, type, outcome, sources, or date.
The category queries shoppers ask before they know your name.
Get named here and you win the sale cold. Burnish keeps your highest-Value queries live, re-reads them across all 5 engines on a schedule, and tracks where you surface. ★ Pin protects a query; Add injects your own.
Query | Intent | Presence | Next check | ||
|---|---|---|---|---|---|
softest sneakers for all-day comfort 2×2× | Comparison | —WarningClose | in 2d | ||
best court sneakers under $160 2×2× | Comparison | —WarningClose | in 2d | ||
low-profile court shoe for narrow feet 2×2× | Comparison | —WarningClose | in 2d | ||
durable court sneakers for daily use 2×2× | Comparison | —WarningClose | in 2d | ||
best first court sneaker 2×2× | Comparison | —WarningClose | in 2d | ||
grip and flex in vulcanized soles 2×2× | Comparison | —WarningClose | in 2d | ||
best value sneakers for the money 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers under $100 2×2× | Comparison | —WarningClose | in 2d | ||
cheapest sneakers still worth buying 2×2× | Comparison | —WarningClose | in 2d | ||
discount sneakers that are still good 2×2× | Comparison | —WarningClose | in 2d | ||
affordable everyday sneakers for first buyers 2×2× | Comparison | —WarningClose | in 2d | ||
end of season sneaker deals 2×2× | Comparison | —WarningClose | in 2d | ||
budget sneakers vs mid-range worth it 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers for court and casual wear 2×2× | Comparison | 72+6SuccessLeading | in 2d |
The 12 queries shoppers ask AI before they trust you with a purchase.
Their answers build — or break — the sale. Burnish asks all 5 engines on a schedule, scores how well each one represents you, and fixes the weak spots.
Check
Whether your pages are the ones cited
Each answer is kept with its sources, so a citation is recorded as a fact rather than estimated.
Where you show up, and where you don't
How five AI assistants discover, mention and describe your store, measured against your real buyer questions.
Live tracking
Overall presence
ChatGPT11#2.1Perplexity4#3.4Gemini3#3.8Claude6#2.9Grok2#4.1AI Answers
The receipts — every word the AI engines have actually said about you.
Grouped by question — each card shows the latest answer from every engine. Search and filter by engine, type, outcome, sources, or date.
The category queries shoppers ask before they know your name.
Get named here and you win the sale cold. Burnish keeps your highest-Value queries live, re-reads them across all 5 engines on a schedule, and tracks where you surface. ★ Pin protects a query; Add injects your own.
Query | Intent | Presence | Next check | ||
|---|---|---|---|---|---|
softest sneakers for all-day comfort 2×2× | Comparison | —WarningClose | in 2d | ||
best court sneakers under $160 2×2× | Comparison | —WarningClose | in 2d | ||
low-profile court shoe for narrow feet 2×2× | Comparison | —WarningClose | in 2d | ||
durable court sneakers for daily use 2×2× | Comparison | —WarningClose | in 2d | ||
best first court sneaker 2×2× | Comparison | —WarningClose | in 2d | ||
grip and flex in vulcanized soles 2×2× | Comparison | —WarningClose | in 2d | ||
best value sneakers for the money 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers under $100 2×2× | Comparison | —WarningClose | in 2d | ||
cheapest sneakers still worth buying 2×2× | Comparison | —WarningClose | in 2d | ||
discount sneakers that are still good 2×2× | Comparison | —WarningClose | in 2d | ||
affordable everyday sneakers for first buyers 2×2× | Comparison | —WarningClose | in 2d | ||
end of season sneaker deals 2×2× | Comparison | —WarningClose | in 2d | ||
budget sneakers vs mid-range worth it 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers for court and casual wear 2×2× | Comparison | 72+6SuccessLeading | in 2d |
The 12 queries shoppers ask AI before they trust you with a purchase.
Their answers build — or break — the sale. Burnish asks all 5 engines on a schedule, scores how well each one represents you, and fixes the weak spots.
Fix
What makes a page quotable
Descriptions, structured data, FAQs and alt text written back to your catalog — approved first, reversible in one click.
What AI can read about your products
Titles, descriptions, FAQs and schema, measured against the AI-ready bar of 80 and rewritten in your voice. You approve every change until you grant autonomy.
Product | Readiness | Status | Projected lift | Actions | |
|---|---|---|---|---|---|
 | 39 | InfoQueued | Success+34 | ||
 | 48 | InfoQueued | Success+29 | ||
 | 61 | InfoQueued | Success+22 | ||
 | 52 | InfoQueued | Success+21 | ||
 | 54 | InfoQueued | Success+18 | ||
 | 47 | InfoQueued | Success+18 | ||
 | 55 | InfoQueued | Success+16 | ||
 | 66 | InfoQueued | Success+14 | ||
 | 70 | InfoQueued | Success+11 | ||
 | 88 | SuccessAI-ready | +0 | ||
 | 84 | SuccessAI-ready | +0 | ||
 | 79 | InfoQueued | +0 | ||
 | 73 | Not optimized | Success+12 | ||
 | 81 | SuccessAI-ready | +0 |
Let Burnish run your catalog.
It keeps your products AI-ready as you add them and the rules shift.
Right now it would handle 12 products (about +2 avg readiness per product).
Product | Optimized by | Readiness | Projected lift | Status | Actions | |
|---|---|---|---|---|---|---|
| You | 81 | — | SuccessOptimized | ||
| You | 73 | Success+12 | SuccessOptimized | ||
| You | 79 | — | SuccessOptimized | ||
| You | 84 | — | SuccessOptimized | ||
| You | 88 | — | SuccessOptimized | ||
| You | 70 | Success+11 | WarningAwaiting approval | ||
| You | 66 | Success+14 | WarningAwaiting approval | ||
| You | 55 | Success+16 | WarningAwaiting approval | ||
| You | 47 | Success+18 | WarningAwaiting approval | ||
| You | 54 | Success+18 | WarningAwaiting approval | ||
| You | 52 | Success+21 | WarningAwaiting approval | ||
| You | 61 | Success+22 | WarningAwaiting approval | ||
| You | 48 | Success+29 | WarningAwaiting approval | ||
| You | 39 | Success+34 | WarningAwaiting approval |
Prove
What moved after the change
Readings before and after, on the same questions. Attribution is correlation over a window, and the page says so.
Where you show up, and where you don't
How five AI assistants discover, mention and describe your store, measured against your real buyer questions.
Live tracking
Overall presence
ChatGPT11#2.1Perplexity4#3.4Gemini3#3.8Claude6#2.9Grok2#4.1AI Answers
The receipts — every word the AI engines have actually said about you.
Grouped by question — each card shows the latest answer from every engine. Search and filter by engine, type, outcome, sources, or date.
The category queries shoppers ask before they know your name.
Get named here and you win the sale cold. Burnish keeps your highest-Value queries live, re-reads them across all 5 engines on a schedule, and tracks where you surface. ★ Pin protects a query; Add injects your own.
Query | Intent | Presence | Next check | ||
|---|---|---|---|---|---|
softest sneakers for all-day comfort 2×2× | Comparison | —WarningClose | in 2d | ||
best court sneakers under $160 2×2× | Comparison | —WarningClose | in 2d | ||
low-profile court shoe for narrow feet 2×2× | Comparison | —WarningClose | in 2d | ||
durable court sneakers for daily use 2×2× | Comparison | —WarningClose | in 2d | ||
best first court sneaker 2×2× | Comparison | —WarningClose | in 2d | ||
grip and flex in vulcanized soles 2×2× | Comparison | —WarningClose | in 2d | ||
best value sneakers for the money 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers under $100 2×2× | Comparison | —WarningClose | in 2d | ||
cheapest sneakers still worth buying 2×2× | Comparison | —WarningClose | in 2d | ||
discount sneakers that are still good 2×2× | Comparison | —WarningClose | in 2d | ||
affordable everyday sneakers for first buyers 2×2× | Comparison | —WarningClose | in 2d | ||
end of season sneaker deals 2×2× | Comparison | —WarningClose | in 2d | ||
budget sneakers vs mid-range worth it 2×2× | Comparison | —WarningClose | in 2d | ||
best sneakers for court and casual wear 2×2× | Comparison | 72+6SuccessLeading | in 2d |
The 12 queries shoppers ask AI before they trust you with a purchase.
Their answers build — or break — the sale. Burnish asks all 5 engines on a schedule, scores how well each one represents you, and fixes the weak spots.
Under the hood
How Burnish reads Perplexity.
“Are Threshold Footwear shoes true to size?”
I couldn’t find a sizing statement on Threshold Footwear’s own pages.
Doesn't know you
Model queried
Sonar Pro. When a provider changes the model behind an assistant, the page changes with it rather than keeping a name that is no longer true.
What gets asked
A 50-question board of buyer questions on Presence and Authority, 100 on Omnipresence, plus a 12-question reputation battery covering legitimacy, returns, shipping, warranty and provenance.
How often
The reputation battery runs on a 72-hour cycle. Discovery questions fire on a rotating schedule — one every 120 minutes on Presence, 90 on Authority, 35 on Omnipresence — so the board is swept continuously rather than in one daily batch.
How it is scored
Answers from Perplexity are read over a rolling 21-day window, and a score is withheld below ten samples rather than shown as a number that a handful of readings cannot support.
Questions.
Does a citation mean a sale?
No. A citation means your page was used to build the answer. Revenue attribution is a separate, correlational measure over a window — Burnish never presents the two as the same thing.
Why does Perplexity name my competitor and not me?
Usually because their page states something yours leaves implicit. The readiness scan names which fields an engine had nothing to read.
Is Perplexity included on the entry plan?
Yes. Presence samples ChatGPT, Perplexity and Gemini. Claude and Grok start on Authority.
The other engines.
Every engine Burnish samples, and which plans reach it.
Start here
See what it has to cite.
The free audit reads your catalog and shows what an assistant has to work with.